Yuanyuan Wan

85 total papers · 717 total citations
42 papers, 436 citations indexed

About

Yuanyuan Wan is a scholar working on Economics and Econometrics, Statistics and Probability and Biomaterials. According to data from OpenAlex, Yuanyuan Wan has authored 42 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Economics and Econometrics, 9 papers in Statistics and Probability and 6 papers in Biomaterials. Recurrent topics in Yuanyuan Wan's work include Statistical Methods and Inference (6 papers), Magnesium Alloys: Properties and Applications (5 papers) and Aluminum Alloys Composites Properties (5 papers). Yuanyuan Wan is often cited by papers focused on Statistical Methods and Inference (6 papers), Magnesium Alloys: Properties and Applications (5 papers) and Aluminum Alloys Composites Properties (5 papers). Yuanyuan Wan collaborates with scholars based in China, Canada and United States. Yuanyuan Wan's co-authors include Ni Sheng, Joris Pinkse, Jinmei Ding, Qi Wen, Qiang Chen, Linna Shi, Gang Chen, Fei Han, Nan Hu and Zude Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Journal of Colloid and Interface Science.

In The Last Decade

Yuanyuan Wan

37 papers receiving 415 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yuanyuan Wan 174 77 60 47 45 42 436
Steven T. Anderson 57 0.3× 122 1.6× 8 0.1× 42 0.9× 29 0.6× 22 408
Jong Ho Hong 188 1.1× 45 0.6× 27 0.5× 84 1.8× 18 0.4× 33 492
Jarmila Straková 78 0.4× 22 0.3× 28 0.5× 33 0.7× 17 0.4× 51 441
Nasir Abbas 127 0.7× 5 0.1× 10 0.2× 13 0.3× 20 0.4× 45 389
Liangliang Liu 187 1.1× 17 0.2× 6 0.1× 57 1.2× 19 0.4× 28 436
Noboru Nomura 151 0.9× 32 0.4× 2 0.0× 53 1.1× 16 0.4× 56 464
Feifei Wang 140 0.8× 79 1.0× 16 0.3× 9 0.2× 6 0.1× 33 481
Bin Zhang 102 0.6× 38 0.5× 52 0.9× 10 0.2× 67 1.5× 31 451
Kaiwei Zhu 110 0.6× 42 0.5× 3 0.1× 45 1.0× 37 0.8× 24 456
Myriam Mérad 31 0.2× 13 0.2× 9 0.1× 18 0.4× 29 0.6× 36 490

Countries citing papers authored by Yuanyuan Wan

Since Specialization
Citations

This map shows the geographic impact of Yuanyuan Wan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yuanyuan Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuanyuan Wan more than expected).

Fields of papers citing papers by Yuanyuan Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuanyuan Wan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yuanyuan Wan. The network helps show where Yuanyuan Wan may publish in the future.

Co-authorship network of co-authors of Yuanyuan Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Yuanyuan Wan. A scholar is included among the top collaborators of Yuanyuan Wan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuanyuan Wan. Yuanyuan Wan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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2026